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Deservely Technologies Pvt Ltd

Machine Learning Engineer
Location: Bangalore (2 days/office)
Experience: 8+ Years
Employment Type: Contract 
Role Overview
We are looking for an expert-level Machine Learning Engineer with strong hands-on expertise in Python to design, build, deploy, and optimize production-grade ML systems. The ideal candidate should combine&nbsp;deep ML knowledge with strong software engineering, system design, and MLOps capabilities. 
Mandatory Skills
• 8+ years of professional experience in Machine Learning / ML Engineering.
• Expert-level Python programming skills.
• Strong understanding of Machine Learning algorithms, statistics, model evaluation, and feature engineering.
• Hands-on experience with scikit-learn, Pandas, NumPy, and ML frameworks such as PyTorch or TensorFlow.
• Strong experience building production-grade ML pipelines and inference systems.
• Solid understanding of MLOps, model deployment, monitoring, and lifecycle management.
• Strong knowledge of data structures, algorithms, software engineering, and system design.
• Experience working with SQL and large-scale datasets.
 Key Responsibilities
• Design, develop, and optimize machine learning models and production ML systems using Python.
• Own the end-to-end ML lifecycle including data preparation, feature engineering, model
development, evaluation, deployment, and monitoring.
• Build scalable ML pipelines and inference services for production environments.
• Apply appropriate ML, statistical, and optimization techniques to solve complex business problems.
• Improve model accuracy, latency, scalability, and reliability through experimentation and
performance optimization.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and Product teams to
productionize ML solutions.
• Implement MLOps practices including model versioning, experiment tracking, CI/CD, monitoring,&nbsp;and automated deployment.
• Review technical designs and code, establish engineering best practices, and mentor other engineers. 
Good-to-Have Skills
• Experience with LLMs, NLP, Generative AI, or RAG.
• Experience with PySpark / distributed ML processing.
• Knowledge of Docker, Kubernetes, and microservices.
• Experience with AWS, Azure, or GCP.
• Familiarity with MLflow, Kubeflow, Airflow, or similar ML orchestration tools.
• Experience with real-time inference, model optimization, or distributed systems.
 Educational Qualifications
• Bachelor’s or master’s degree in computer science, Engineering, or a related technical field.
• Advanced degree or strong research/open-source contributions in ML is an advantage.